We consider two real-world datasets.
MNIST ([1]}) consists of \(28 \times 28\)  greyscale images of handwritten digits \((d = 784)\) .
Human Activity Recognition (HAPT) ([2]}), is a
dataset of sensor recordings of subjects performing a range of daily activities \((d=561)\) .
We use 6 of the labels from HAPT, omitting labels representing transitions
between activities.
